Setting up TF Developer Certificate Exam - TensorFlow

Set up your environment to take the TensorFlow Developer Certificate Exam

Questions? Email tensorflow-certificate-support@.

Last Updated: July 12 2022

This document describes how to get your environment ready to take the TensorFlow Developer Certificate exam. It does not discuss what the exam is or how to take it. For more information about the TensorFlow Developer Certificate program, please go to certificate.

WARNING: If you cannot configure your computer to install TensorFlow as described in this document, it is unlikely that the exam infrastructure will be able to install the necessary version of TensorFlow on your computer. Please don't purchase the exam if you cannot configure PyCharm as described here.

Contents

Before you begin Refund policy Install Python 3.8 Install PyCharm

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Get your environment ready for the exam What libraries will the exam infrastructure install? Test your environment before you take the exam Make sure that PyCharm isn't subject to file-loading controls Windows and Linux Users: Check your GPU drivers Mac Users: Ensure you have Python 3.8 All Users: Create a Test Virtual Environment that uses TensorFlow in PyCharm Create a new PyCharm project Install TensorFlow and related packages Check the supported version of Python in PyCharm Practice training TensorFlow models

FAQs How do I start the exam? What version of TensorFlow is used in the exam? Is there a minimum hardware requirement? How do I set up GPU and CUDA? Can I use an Apple M1 computer to take the exam? Where is the candidate handbook?

Before you begin

The TensorFlow certificate exam runs inside PyCharm.

The exam uses TensorFlow 2.7.x.

You must use Python 3.8 to ensure accurate grading of your models. The exam has been tested with Python 3.8.0 and TensorFlow 2.7.x.

Before you start the exam, make sure your environment is ready:

Make sure you have Python 3.8 installed on your computer. Check that your system meets the installation requirements for PyCharm here. Install version 2021.3 of PyCharm. Ensure that you have a stable internet connection before starting the exam.

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 Make sure you are familiar with using PyCharm and that it is configured correctly.

See the section Before you begin: Get your environment ready further down this document for details on making sure that you have PyCharm ready and set up correctly for the exam.

Refund policy

When the exam starts, you will have five hours to complete it. It is your responsibility to ensure that:

You are using a computing environment that can run PyCharm and PyCharm plugins without problems.

You have a strong and reliable internet connection for the duration of the exam. You are using a computing environment that can handle the creation, training and

testing of machine learning models. See Is there a minimum hardware requirement? You carefully read the instructions that will be sent to you when you purchase the exam. You read and understand the Terms and Conditions before you take the exam. Important! After you start the exam, we are unable to issue refunds or retakes for any reason. To start the exam, go to certificate.

Install Python 3.8

IMPORTANT! Make sure Python 3.8 is installed on your machine before you start the exam. Although TensorFlow works with other versions of Python, the exam has been tested with Python 3.8.0.

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For step by step instructions to updating Python on your workstation, see Before you begin: Get your environment ready to take the exam (further down in this document). Don't use Anaconda.

IMPORTANT! Your Python environment must be installed from canonical Python packages available at . We cannot be responsible for errors in your submissions due to self-built or non-canonical Python environments.

Install PyCharm

1. Check that your system meets the installation requirements for PyCharm here. 2. Install PyCharm 2021.3:

You can use either PyCharm Professional or PyCharm Community Edition. Don't use the Anaconda plugin.

Get your environment ready for the exam

You will take the exam inside PyCharm. The exam infrastructure will create a project and install some software packages for you. You can install whatever other software you need as you take the exam. It is important that you don't change the version of TensorFlow within the exam project, because the grading infrastructure uses the same version of TensorFlow as the exam.

What libraries will the exam infrastructure install?

When you start the TensorFlow developer certificate exam, the exam framework will install a file called requirements.txt that installs the following software in your PyCharm project:

tensorflow==2.9.0

tensorflow-datasets==4.6.0 Pillow==9.1.1 pandas==1.4.2 numpy==1.22.4

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scipy==1.7.3

Test your environment before you take the exam

Before you begin the exam, to mitigate any possible issues that you could encounter with the exam environment, create a PyCharm project, load the same libraries that you will need in the exam, and practice training models in PyCharm.

Make sure that PyCharm isn't subject to file-loading controls

The TensorFlow Developer certificate exam needs to load files. Make sure that the software or computer that you will use to access PyCharm isn't subject to any controls that could block the loading of files. This advice is relevant, for example, if you plan to use a Windows server administered by your company which might have restrictions on what files can be loaded through the server.

Windows and Linux Users: Check your GPU drivers

If you are a Windows user, and you have NVIDIA graphics cards installed, make sure your drivers work with the required version of TensorFlow. We recommend you test out a system after following the steps here: install/gpu.

Also see tensorflow/docs/blob/r2.4/site/en/install/gpu.md for more information about hardware and software requirements for using CUDA and GPU with TensorFlow 2.x.

See the instructions below for testing in a PyCharm virtual environment.

Mac Users: Ensure you have Python 3.8

The exam has been tested with Python 3.8. Macs ship with 2.7 as the default native interpreter, and PyCharm can get confused by this. Merely installing Python 3.8 is not enough. First ensure that Python 3.8 is properly installed, by typing `python3' at the terminal. This command returns the version of Python 3 that is installed ? makes sure it says Python 3.8.x.

If it isn't installed, go to downloads to download a version of Python 3.8. Note that this is not the latest version. If you use homebrew make sure that you use it to install Python 3.8, and not the latest (which it will default to).

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